130 points by FabianCarbonara15 days ago | 61 comments
How to play: Some comments in this thread were written by AI. Read through and click flag as AI on any comment you think is fake. When you're done, hit reveal at the bottom to see your score.got it
> If you're still looking for a name let me suggest "hyper text".
Perhaps "WWW SPA document"? Using markdown with highly-progressive fenced blocks?
Hypertext (one word, coined 1960s) is quite a broad category. Subcategory "WWW" could fit, as TFA seems WWW-ish. A markdown document format, and progressive rendering of tags and code, seems HTML-like. Though with greater progressiveness - code blocks with streamed execution rather than merely compilation. The progressive JSON callbacks, React, integrated client and server code execution, and server-side rendering, seem closer to WWW SPA than to HTML. Though SPA files often seem more "source" than "document". And the multiple-page "App"-ness of SPA doesn't fit well. SPA seems a better fit than "full-stack". Perhaps some name analogous to "isomorphic javascript"...?
We just shipped a feature six months ago that basically went through this exact lifecycle — "let's use something simple and composable" turned into "wait, we need edge cases" and now we have a custom parser. Every wheel re-invention I've seen starts with Markdown.
Every special syntax you add to support richer UI is just another thing that breaks differently. Seen plenty of "simple" markup languages turn into their own DSL. Now you're debugging the parser at 3am.
Actually "hyper text" already refers to something specific -- it's the HT in HTML and HTTP. IIRC Ted Nelson coined it in the 60s. Though I get the spirit of the suggestion, it'd cause real confusion reusing that term.
Very cool. I'm imagining using this with Claude Code, allowing it to wire this up to MCP or to CLI commands somehow and using that whole system as an interactive dashboard for administering a kubernetes cluster or something like that - and the hypothetical first feature request is to be able to "freeze" one of these UI snippets and save it as some sort of a "view" that I can access later. Use case: it happens to build a particularly convenient way to do a bunch of calls to kubectl, parse results and present them in some interactive way - and I'd like to reuse that same widget later without explaining/iterating on it again.
Did you see that Claude Code just came out with "channels" that allows for messages to be injected into the session/sent out by claude via hooks and MCP server [1]? I had CC code an integration between fenced and CC using channels and it actually worked - a little clunky since there is no streaming, but very interesting nevertheless.
I quite like this! I've been incrementally building similar tooling for a project I've been working on, and I really appreciate the ideas here.
I think the key decision for someone implementing a flexible UI system like this is the required level of expressiveness. To me, the chief problem with having agents build custom html pages (as another comment suggested) is far too unconstrained. I've been working with a system of pre-registered blocks and callbacks that are very constrained. I quite like this as a middleground, though it may still be too dynamic for my use case. Will explore a bit more!
Thanks! Really interesting to hear you're working on something similar.
You're right that the level of expressiveness is the key design decision. There's a real spectrum:
- pre-registered blocks (safe, predictable)
- code execution with a component library (middle ground)
- full arbitrary code (maximum flexibility).
My approach can slide along that spectrum: you could constrain the agent to only use a specific set of pre-imported components rather than writing arbitrary JSX. The mount() primitive and data flow patterns still work the same way, you just limit what the LLM is allowed to render.
Would love to hear what you learn if you explore it!
Will do! I'm using a JSON DSL currently, I wonder if there's a best choice for format that is both at the correct level of expressiveness and also easy enough for the LLM to generate in a valid way. I do think markdown has advantage of being very trivial for LLMs, but my current JSON blocks strategy might be better for more complex data.... will play around.
The significance is responsiveness — instead of waiting for the LLM to finish generating the entire code block before anything happens, each statement executes as soon as it's complete. So API calls start, UIs render, and errors surface while the LLM is still streaming tokens.
Combined with a slot mechanism, complex UIs build up progressively — a skeleton appears first, then each section fills in as the LLM generates it.
That is super cool. Sorry to be nitpicky but would really like to know your mental model: I didn’t understand from the blog why user waiting for a functional UI is a problem ? isn’t the partial streamed UI non-functional ?
I can see the value in early user verification and maybe interrupting the LLM to not proceed on an invalid path but I guess this is customer facing so not as valuable.
"In interactive assistants, that latency makes or breaks the experience." Why ? Because user might just jump off ?
Maybe I am a bit overdramatic ;) For me this is mostly about user experience. If the agent creates a complex mini app, the user might have to wait 30 seconds. That's 30 seconds without feedback. It's way nicer to already see information appearing - especially if that information is helpful. Also the UI can be functional already, even if it's not 100% complete!
Markdown UI and my approach share the "markdown as the medium" insight, but they're fundamentally different bets:
Markdown UI is declarative — you embed predefined widget types in markdown. The LLM picks from a catalog. It's clean and safe, but limited to what the catalog supports.
My approach is code-based — the LLM writes executable TypeScript in markdown code fences, which runs on the server and can render any React UI. It also has server-side state, so the UI can do forms, callbacks, and streaming data — not just display widgets.
OpenUI and JSON-render are some other players in this space.
I’m building an agentic commerce chat that uses MCP-UI and want to start using these new implementations instead of MCP-UI but can’t wrap my head around how button on click and actions work? MCP-UI allows onClick events to work since you’re “hard coding” the UI from the get-go vs relying on AI generating undertemistic JSON and turning that into UI that might be different on every use.
When the user clicks the button, it invokes the server-side function. The callback fetches fresh data, updates state via reactive proxies, and the UI reflects it — all without triggering a new LLM turn.
So the UI is generated dynamically by the LLM, but the interactions are real server-side code, not just display. Forms work the same way — "await form.result" pauses execution until the user submits.
The article has a full walkthrough of the four data flow patterns (forms, live updates, streaming data, callbacks) with demos.
I will say I came upon this same design pattern to make all my chats into semantic Markdown that is backward compatible with markdown. I did:
````assistant
<Short Summary title>
gemini/3.1-pro - 20260319T050611Z
Response from the assistant
````
with a similar block for tool calling
This can be parsed semantically as part of the conversation
but also is rendered as regular Markdown code block when needed
Helps me keep AI chats on the filesystem, as a valid document, but also add some more semantic meaning atop of Markdown
So many formats, with different tradeoffs around readable/parsable/comments/etc. I wish there was a "universal" converter. With LLM's sometimes used to edit chat traces, I'd like ingestion from md/yaml, not merely a "render from message json".
So .json `[{"role": "user", "content": "Hi"}` <-> .md ` ```json\n[{"role": "user", "content": "Hi"}` <-> above ` ```user\nHi` <-> `# User\nHi` <-> ` ```chatML\n<|user|>\nHi` <-> .html rendered .md, but with elements like <think> and <file> escaped... etc.
In an agentic loop, the model can keep calling multiple tools for each specialized artifact (like how claude webapp renders HTML/SVG artifacts within a single turn). Models are already trained for this (tested this approach with qwen 3.5 27B and it was able to follow claude's lead from the previous turns).
A2UI is Google's take — declarative JSON, tool-calling based, predefined component catalog. Clean and safe but constrained.
My approach is the opposite bet: full code execution instead of tool calls. The agent can build any React UI from scratch with the full power of code — including client-server data flow, callbacks, streaming data.
I see potential to take over Notion's / Obsidian's business here. Imagine highly customizable notebooks people can generate on the fly with the right kind of UI they need. Compared to fixed blocks in Notion
That’s what I’m building, along with the invisible unified data model underneath, that is needed to tie everything together. Always glad for feedback, reach out in my profile if it sounds interesting!
Notion and Obsidian are sticky because of their data model and ecosystem, not their UI flexibility. People have been promising "generate the UI you need" for years — it tends to produce inconsistent interfaces that users have to re-learn constantly. Customizable doesn't mean usable.
That‘a fascinating take on the UI problem. I find myself less and less coding cause there is no real easy way to build simple UI nowerdays. Languages like go and rust gloss over the UI question and offer no real easy way. Web frameworks take the roll of a emergency UI. I most of the time still use windows.forms for fast easy statefull ui forms
Brainstorming, perhaps `<<named-block-code-transclusion>>`? It goes against the grain of "eval() line-by-line", even if it's handled ASAP. But it might relax the order constraint on codegen. Especially if the UI gets complex, or rendered on a "pane off to the side".
Interesting idea! The slots mechanism already handles some of this — you can mount a skeleton first and fill in named sections later as the LLM generates them. But true out-of-order transclusion could be useful for more complex layouts. Worth exploring!
There’s definitely a lot of merit to this idea, and the gifs in the article look impressive. My strong opinion is that there’s a lot more to (good) UIs than what an LLM will ever be able to bring (happy to be proven wrong in a few years…), but for utilitarian and on-the-fly UIs there’s definitely a lot of promise
Thanks! I totally agree — this isn't about replacing carefully designed UIs. It's about ephemeral interfaces you need in the moment — the throwaway dashboard for this specific dataset, the one-off form for this exact workflow. Things that would normally mean opening 3 different apps.
The goal isn't really a better markdown format — it's bringing code execution and generative UI together. The code fences run on the server: calling APIs, processing data, doing agentic work. And they can also mount reactive UIs with full data flow between client, server, and LLM.
MDX is a compile-time format for static content. This is a runtime protocol where the LLM writes code that executes as it streams, and the UIs it creates stay connected to the server.
The component resolution step is where things get interesting in practice. Tried something similar last year and the tricky part was handling ambiguous matches when the model generates near-but-not-quite component names. Fuzzy matching helps but introduces its own edge cases around unintended component invocations.
It embodies the whole idea of having data, code and presentation at the same place.
If you're open for contributions I already have an idea for cascading styles system in mind.